Wireless Sensor Networks for Ambient Assisted Living
Identifieur interne : 000388 ( Main/Curation ); précédent : 000387; suivant : 000389Wireless Sensor Networks for Ambient Assisted Living
Auteurs : Raúl Aquino-Santos ; Diego Martinez-Castro ; Arthur Edwards-Block ; Andrés Felipe Murillo-PiedrahitaSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Assisted Living Facilities, Telemetry.
- Algorithms, Wireless Technology.
Abstract
This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.
Url:
DOI: 10.3390/s131216384
PubMed: 24351665
PubMed Central: 3892847
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PMC:3892847Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.</p>
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<author><name sortKey="Lee, S W" uniqKey="Lee S">S.W. Lee</name>
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<author><name sortKey="Gonzalez Potes, A" uniqKey="Gonzalez Potes A">A. González-Potes</name>
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<author><name sortKey="Edwards Block, A" uniqKey="Edwards Block A">A. Edwards-Block</name>
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<biblStruct><analytic><author><name sortKey="Santos, R A" uniqKey="Santos R">R.A. Santos</name>
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<author><name sortKey="Edwards, A" uniqKey="Edwards A">A. Edwards</name>
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<biblStruct><analytic><author><name sortKey="Aquino Santos, R" uniqKey="Aquino Santos R">R. Aquino-Santos</name>
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<author><name sortKey="Gonzalez Potes, A" uniqKey="Gonzalez Potes A">A. González-Potes</name>
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